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What is Retrieval-Augmented Generation

Introduction In the AI space, where technological development is happening at a rapid pace, Retrieval Augmented Generation, or RAG, is a game-changer. But what is RAG, and why does it hold such importance in the present AI and natural language processing (NLP) world? Before answering that question, let's briefly talk about Large Language Models (LLMs).…

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Data annotation tools: A comprehensive overview

Data annotation tools are the unsung heroes of AI and machine learning. From self-driving cars to AI-powered healthcare systems, these tools play a crucial role in ensuring the success and accuracy of AI projects. They enable the labeling and categorization of vast data, transforming raw information into high-quality, annotated datasets from which AI and ML…

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Unlock the Future: AI Agents and LLMs at Chatbot Conference 2024 | by Stefan Kojouharov | Jul, 2024

Unveiling the Speakers, Agenda and Theme of Chatbot Conference 2024 Dear AI Enthusiasts, We’re thrilled to unveil the agenda for this year’s Chatbot Conference, scheduled for September 24–26 in the tech-savvy city of San Francisco. This year, we’re zeroing in on a groundbreaking theme: AI Agents and LLMs — The Tools That Do More Than…

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From Definition to Best Practices

Accounts payable is a crucial aspect of financial management that every business owner and finance professional must understand. Put simply, accounts payable refers to the money a company owes its suppliers for goods or services purchased on credit. Effectively managing accounts payable is essential for maintaining healthy cash flow, fostering strong vendor relationships, and ensuring…

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Top choices and best practices

Over the years, the auditing landscape has undergone remarkable transformations, and among the most significant advancements has been the advent of audit automation software solutions. Research shows that adopting audit automation tools can significantly reduce costs and save time, and there has been a shift towards increased technology utilization. The advent of AI tools has…

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History and Future of LLMs

  Inception of LLMs - NLP and Neural Networks   The creation of Large Language Models didn’t happen overnight. Remarkably, the first concept of language models started with rule-based systems dubbed Natural Language Processing. These systems follow predefined rules that make decisions and infer conclusions based on text input. These systems rely on if-else statements…

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VEnhancer: A Generative Space-Time Enhancement Method for Video Generation

Recent advancements in video generation have been driven by large models trained on extensive datasets, employing techniques like adding layers to existing models and joint training. Some approaches use multi-stage processes, combining base models with frame interpolation and super-resolution. Video Super-Resolution (VSR) enhances low-resolution videos, with newer techniques using varied degradation models to better mimic…

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Theia: A Robot Vision Foundation Model that Simultaneously Distills Off-the-Shelf VFMs such as CLIP, DINOv2, and ViT

Visual understanding is the abstracting of high-dimensional visual signals like images and videos. Many problems are involved in this process, ranging from depth prediction and vision-language correspondence to classification and object grounding, which include tasks defined along spatial and temporal axes and tasks defined along coarse to fine granularity, like object grounding. In light of…

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